gesture.py

import tensorflow as tf

seq_length = 128

model = tf.keras.Sequential([
      tf.keras.layers.Conv2D(
          8, (4, 3),
          padding="same",
          activation="relu",
          input_shape=(seq_length, 3, 1)),                # output_shape=(batch, 128, 3, 8)
      tf.keras.layers.MaxPool2D((3, 3)),                  # (batch, 42, 1, 8)
      tf.keras.layers.Dropout(0.1),                       # (batch, 42, 1, 8)
      tf.keras.layers.Conv2D(16, (4, 1), padding="same",
                             activation="relu"),          # (batch, 42, 1, 16)
      tf.keras.layers.MaxPool2D((3, 1), padding="same"),  # (batch, 14, 1, 16)
      tf.keras.layers.Dropout(0.1),                       # (batch, 14, 1, 16)
      tf.keras.layers.Flatten(),                          # (batch, 224)
      tf.keras.layers.Dense(16, activation="relu"),       # (batch, 16)
      tf.keras.layers.Dropout(0.1),                       # (batch, 16)
      tf.keras.layers.Dense(4, activation="softmax")      # (batch, 4)
  ])